Biology Reference
In-Depth Information
Anderson, M. J., & Ter Braak, C. J. F. (2003). Permutation tests for multi-factorial analysis of variance. Journal of
Statistical Computation and Simulation, 73,85 113.
Dryden, I. L., & Mardia, K. V. (1998). Statistical shape analysis. New York: John Wiley & Sons.
Edgington, E. S. (1995). Randomization tests. New York: Marcel Dekker.
Efron, B. (1979). Computers and the theory of statistics, thinking the unthinkable. Society for Industrial and Applied
Mathematics Review, 21, 460 480.
Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82, 171 185.
Efron, B. (1992). Jackknife-after-bootstrap standard errors and influence functions. Journal of the Royal Statistical
Society Series B, Methodological, 54,83 127.
Efron, B., & Tibshirani, R. J. (1993). An introduction to the bootstrap. London: Chapman & Hall.
Fisher, R. A. (1935). The design of experiments. Edinburgh: Oliver & Boyd.
Freund, J. E., & Walpole, R. E. (1980). Mathematical statistics (3rd ed.). Englewood Cliffs, NJ: Prentice-Hall.
Good, P. (1994). Permutation tests: A practical guide to resampling methods for testing hypotheses. New York: Springer-
Verlag.
Goodall, C. (1991). Procrustes methods in the statistical analysis of shape. Journal of the Royal Statistical Society,
Series B: Methodological, 53, 285 339.
Hoeffding, W.
(1952). The large-sample power of
tests based on permutation of observations. Annals of
Mathematical Statistics, 23, 169 192.
Jackson, D. A., & Somers, K. M. (1989). Are probability estimates from the permutation models of Mantel's test
stable? Canadian Journal of Zoology, 67, 766 779.
Klingenberg, C. P., & McIntyre, G. S. (1998). Geometric morphometrics of developmental instability: Analyzing
patterns of fluctuating asymmetry with Procrustes methods. Evolution, 52, 1363 1375.
Larsen, E. (2005). Developmental origins of variation. In B. Halgr´msson, & B. K. Hall (Eds.), Variation (pp. 113 129).
Elsevier/Academic Press.
Manly, B. F. (1997). Randomization, bootstrap and Monte Carlo methods in biology. London: Chapman & Hall.
McArdle, B. H., & Anderson, M. J. (2001). Fitting multivariate models to community data: A comment on
distance-based redundancy analysis. Ecology, 82, 290 297.
Quenouille, M. (1949). Approximate tests of correlation in time series. Journal of the Royal Statistical Society B, 11,
18 44.
Rasp´, R. E. (1785). Baron M ¨ nchhausen's narrative of his Marvelous Travels and Campaigns in Russia.
Rencher, A. C. (1995). Methods of multivariate analysis. New York: John Wiley & Sons.
Rencher, A. C., & Schaalje, G. B. (2008). Linear models in statistics. Hoboken, NJ: Wiley.
Robinson, J. (1973). Large-sample power of permutation tests for randomization models. Annals of Statistics, 1,
291 296.
Rohlf, F. J. (2009). tpsRegr 1.37. Ecology and evolution. State University of New York at Stony Brook.
Romano, J. P. (1989). Bootstrap and randomization tests of some non-parametric hypotheses. Annals of Statistics,
17, 141 159.
Sheets, H. D., & Mitchell, C. E. (2001). Why the null matters: Statistical tests, random walks and evolution.
Genetica, 112, 105 125.
Tukey, J. W. (1958). Bias and confidence in not quite large samples. (Abstract). Annals of Mathematical Statistics,
29, 614.
Search WWH ::




Custom Search